Lead daily network operations for LAN, WAN, SD-WAN, wireless, internet, and cloud connectivity.Monitor network performance, availability, and capacity using enterprise monitoring tools.Ensure high uptime and operational stability across data centers, campuses, manufacturing sites, and remote offices.Manage incident response, troubleshooting, root cause analysis, and problem management.experience12
Key Sourcing CriteriaOverall Experience:10+ years total experienceStrong hands-on background in AI / ML / Data ScienceLevel & Role Expectation:M3 / Senior Manager levelMust be a People Manager + Technical LeaderCareer progression should ideally be System Engineer → Team Lead → System Engineering Manager / AI ArchitectSystem Design (Very Important):Strong enterprise-scale system design experienceShould understand why systems are built, not just how models
Job Description/Preferred QualificationsDesign and architect scalable, highly available, and resilient cloud solutions leveraging IaaS and PaaS services across AWS, Azure, and Google Cloud Platform (GCP).Experience in cloud migration initiatives, including re-hosting, re-platforming, refactoring, and re-architecting legacy and on-premises workloads.Drive application and infrastructure modernization programs to improve scalability, performance, and
EDUCATIONAL QUALIFICATIONS: BE/ ME/MS in CS domain/Post-graduation in engineering will be given preference.Key Words: System Debugger, Test Automation, C++, Python, Java, Android, Protobuffer, GIT , Android Build System, CI/CD, RUSTMainly to concentrate skill needs as per JDHands on of the debugging tools Handson Knowledge on SOCs -- QC Hypervisor -- Type-1 (for eg: QNX)Automotive SW Architecture (Linux, Android, QNX etc.)IVI developmentexperience5